Smart Data Collective

OCTOBER 6, 2023

In this article, we will explore the significance of managing seasonal fluctuations and the strategies businesses can implement. There are a number of huge benefits of using data analytics to identify seasonal trends. This underscores the importance of investing in predictive analytics technology to forecast sales.

Management 116

Management Analytics Predictive Analytics Cost-Benefit 116

Smart Data Collective

JANUARY 19, 2022

Big data is extremely important in the marketing profession. billion on marketing analytics by 2026. A growing number of companies are using data analytics to better understand the mindset of their customers, provide better customer service , forecast industry trends and identify the ROI of various marketing strategies.

Consulting 97

Consulting Data-driven Marketing Strategy 97

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Every business needs a go-to-market strategy or the GTM strategy to reach the target customers and stay ahead of their competitors. Christian Welborn recently published an article on taking a data-driven approach to GTM. Let’s begin.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

Smart Data Collective

APRIL 20, 2019

They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. We previously published an article on the state of direct mail marketing. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

Rocket-Powered Data Science

MARCH 19, 2021

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2

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Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

MARCH 2, 2023

It helps companies operate more efficiently, tap larger markets of customers, and solve some of their most complex challenges. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. Big data technology used to be a luxury for small business owners.

Big Data 82

Big Data Uncertainty Risk Data mining 82

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smart Data Collective

JULY 31, 2022

Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. in 2022 and 1.5%

Predictive Analytics 135

Predictive Analytics Analytics Uncertainty Forecasting 135

Smarten

JUNE 8, 2022

In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance. What follows is a short list of sample use cases that leverage predictive analytics.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Smart Data Collective

SEPTEMBER 13, 2021

In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. This type of big data is used to forecast and for making the right decisions. Investors cannot use it for long-term forecasting and strategizing. Main Types of Big Data. Broad and Fast.

Big Data 108

Big Data Forecasting Cost-Benefit Machine Learning 108

Smart Data Collective

JULY 9, 2023

This article is going to provide some great insights on developing strategies for unlocking additional value from an online business, which can do a lot to boost revenue and catapult the enterprise to new heights. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Jedox

JUNE 25, 2020

Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets. For this, modern planning software together with artificial intelligence-based (AI-based) predictive analytics can provide important support by evaluating historical data to derive forecasts for further development.

Technology 94

Technology Finance Cost-Benefit Forecasting 94

Smart Data Collective

JANUARY 26, 2022

Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting. We have had time to observe some major developments of legal analytics over the last year. What is Legal Analytics?

Data Analytics 73

Data Analytics Analytics Predictive Analytics Insurance 73

CIO Business Intelligence

MAY 8, 2024

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. billion by 2025.

Data Integration 74

Data Integration IoT Cost-Benefit Data Quality 74

datapine

MARCH 31, 2022

Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. With this, we do not mean that you need to know how to use every tool in the market, but understanding how these technologies can work to your advantage.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. However, generative AI can create value by generating multilingual support and personalized marketing content.

B2B 64

B2B Interactive Optimization Forecasting 64

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Smart Data Collective

JANUARY 21, 2021

A growing number of solar energy companies are using new advances in data analytics and machine learning to increase the value of their products. A little over a year ago, Entrepreneur.com published an article on this topic titled Big Data and Solar Energy Are a Match Made in Heaven. “This is where big data comes in.

Big Data 131

Big Data Cost-Benefit Data-driven Machine Learning 131

Smart Data Collective

APRIL 7, 2022

These benefits include the following: You can use data analytics to better understand the preferences of your users and provide personalized product recommendations. Predictive analytics tools use market data to forecast trends and ensure e-commerce companies sell products that will be in demand.

B2B 107

B2B Sales Big Data Cost-Benefit 107

IBM Big Data Hub

APRIL 25, 2024

The methodology gained prominence with the publication of a 1990 article in the Harvard Business Review, “Reengineering Work: Don’t Automate, Obliterate,” by Michael Hammer, and the 1993 book by Hammer and James Champy, Reengineering the Corporation.

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

FineReport

MARCH 24, 2024

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

JULY 9, 2021

There are a lot of great employees that don’t get noticed in the labor market. Data analytics helps companies match the right employees or applicants with the right responsibilities. There are a lot of challenges that employees face when they try to forecast future staffing needs. Anticipating hiring needs.

Data Analytics 128

Data Analytics Management Analytics Big Data 128

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Market Insight : Analyzing big data can help businesses understand market demand and customer behavior.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Predictive analytics will be used much more in airline marketing in the months to come.

Machine Learning 66

Machine Learning Cost-Benefit Strategy Marketing 66

Smarten

JUNE 20, 2018

In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we have reviewed and explained the types of trend and pattern analysis. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Jedox

FEBRUARY 20, 2020

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.

Data Integration 52

Data Integration Finance Business Driver Forecasting 52

Smart Data Collective

MARCH 5, 2022

Here are some reasons that data scientists will have a strong edge over their competitors after starting a dropshipping business: Data scientists understand how to use predictive analytics technology to forecast trends. This is essential for dropshipping, because you need to know what products to focus on selling.

Data mining 135

Data mining Big Data Data-driven Data Science 135

Smarten

JULY 12, 2017

The simplest, easiest and spreadsheetble (I just invented this word) information which can be used for predictive and forecasting is defined data over a period. We will not discuss this here and hope you are relieved of some scepticism about this article at this stage. Analysts could write 20 pages on this.

Predictive Analytics 40

Predictive Analytics Sales Manufacturing Data-driven 40

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Predictive Modeling to support business needs, forecast, and test theories. Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy. What is Multiple Linear Regression Analysis? Use Case – 2. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

datapine

OCTOBER 21, 2020

In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help? Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. Analytics expert Bernard Marr writes about the problem in a Forbes article.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

MARCH 25, 2022

Try our professional BI and analytics software for 14 days free! In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Most BI software in the market are self-service.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

AUGUST 29, 2022

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. In this article, we will share some best practices for improving your analytics with ML. Top ML approaches to improve your analytics.

Analytics 115

Analytics Predictive Analytics Machine Learning Insurance 115

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

datapine

JANUARY 18, 2023

With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. With the use of the right BI reporting tool businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies.

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Reporting Metrics Dashboards Visualization 201